timm/convnext_large.fb_in22k_ft_in1k_384
image-classification model by timm
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors. Explore the dataset and runtime metrics of this model…
Read the full model card ↗ · Preview checked 2026-09-21T06:44:41.727Z
Inside the original model card — Document outline
- Model card for convnextlarge.fbin22kftin1k384
- Model Details
- Model Usage
- Image Classification
- Feature Map Extraction
- Image Embeddings
- Model Comparison
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
timm/convnext_large.fb_in22k_ft_in1k_384 is a image-classification model repository published by timm on Hugging Face. The source reports the timm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- timm
- Recent downloads (30 days)
- 46,796
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 197,767,336
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-12-13T07:11:09.000Z
- Last modified
- 2025-01-21T21:14:24.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:52.646Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
timm/mobilenetv3_small_100.lamb_in1k